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The JWT signature verification failed. Check the signing key and the algorithm.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Analysis of energy usage for HUGS models
Based on the energy_star branch of optimum-benchmark, and using codecarbon.
Fields
- task: Task the model was benchmarked on.
- org: Organization hosting the model.
- model: The specific model. Model names at HF are usually constructed with {org}/{model}.
- date: The date that the benchmark was run.
- prefill: The esimated energy and efficiency for prefilling.
- decode: The estimated energy and efficiency for decoding.
- preprocess: The estimated energy and efficiency for preprocessing.
Code to Reproduce
As I'm devving, I'm hopping between https://huggingface.co/spaces/AIEnergyScore/benchmark-hugs-models and https://huggingface.co/spaces/meg/CalculateCarbon
From there, python code/make_pretty_dataset.py (included in this repository) takes the raw results and uploads them to the dataset here.
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